Range-dependent random graphs and their application to modeling large small-world Proteome datasets.

  title={Range-dependent random graphs and their application to modeling large small-world Proteome datasets.},
  author={Peter Grindrod},
  journal={Physical review. E, Statistical, nonlinear, and soft matter physics},
  volume={66 6 Pt 2},
  • Peter Grindrod
  • Published 2002 in
    Physical review. E, Statistical, nonlinear, and…
In this paper we consider the problem of characterizing and modeling large-scale networks using classes of range-dependent graphs which possess appropriate small-world properties. The application we have in mind is to bioinformatics, where methods of rapid protein identification mean that such proteome datasets, listing various observed protein-protein associations, will become more and more prevalent. We introduce a class of range-dependent graphs, governed by a power law relating intervertex… CONTINUE READING
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